Gregorios Kythreotis, the creative director of sci-fi hoverbike adventure Sable, has a new thing. He’s heading up a fresh studio dubbed Eteo, who’ll be aiming to release their first game in 2027. Until then, the studio plan to start putting out a newsletter called Archetypes, which’ll debut in January and discuss different elements of game design.
There are many scenarios where Copilot Chat can feel limited by the built-in model training data. Maybe you want guidance on the latest web framework, documentation, or project-specific resources—but Copilot’s responses just aren’t specific enough. For developers who rely on up-to-date or esoteric answers, this gap can be a real frustration.
URL Context: Bringing the web into Copilot Chat
With the new URL context feature, Copilot Chat can now access and use information directly from web pages you specify. By pasting a URL into your Copilot Chat prompt, you empower Copilot to pull real-time, relevant information from the source. This means more tailored responses.
How to use reference URLs in Copilot Chat
Getting started is easy. When you need Copilot to answer using a specific web resource, simply paste the desired URL into your chat prompt. Copilot will then process the contents of that page, giving you context-aware answers that go beyond its original training. This opens the door to more personalized support.
Limitations to keep in mind
While the URL context feature is powerful, there are a few things to remember. Copilot’s ability to extract and understand content depends on the accessibility of the web page and the clarity of its information. Some sites might have authentication restrictions or have dynamic content that limit Copilot’s ability to read the web page’s content. Always review responses for accuracy and completeness, especially when referencing complex or highly technical sources.
Check out the new Visual Studio Hub
Stay connected with everything Visual Studio in one place! Visit the Visual Studio Hub for the latest release notes, YouTube videos, social updates, and community discussions.
Appreciation for your feedback
Your feedback helps us improve Visual Studio, making it an even more powerful tool for developers. We are immensely grateful for your contributions and look forward to your continued support. By sharing your thoughts, ideas, and any issues you encounter through Developer Community, you help us improve and shape the future of Visual Studio.
Here’s your January monthly binder covers and yes, you can completely mix all the months up or use all the same theme for each month. There’s no right or wrong way to make your printable planner, whatever makes you happy! 🤩
Each month is designed to bring you joy and help inspire you to keep motivated in your daily work.
Use these printable templates for monthly planners, daily planners, homeschooling binders, blogging planners, teacher binders, budget planners, student binders, home management binders, or anything else you want to organize!
Perfect for:
teachers
moms
bloggers
students
homeschoolers
entrepreneurs
January Monthly Binder Covers
Below you’ll find 20 different styles for January, but if you’re looking for the rest of the year too, you can grab all the months here…
Want a free Daily Planner to go with it? Check out these three options…
Choose your favorite January monthly planner cover and plan your month…
Anthropic CEO Dario Amodei shared his thoughts on if the AI industry was in a bubble at The New York Times DealBook Summit on Wednesday. This was in addition to throwing shade on one particular unnamed competitor, which was clearly OpenAI.
Amodei declined to give a simple yes-or-no answer to question of a bubble, saying it was a complex situation, but instead explained his thoughts about the economics of AI in more detail.
He described himself as bullish on the potential of the technology, but cautioned that there could be players in the ecosystem who might make a “timing error” or could see “bad things” happen when it comes to the economic payoffs.
“There’s an inherent risk when the timing of the economic value is uncertain,” Amodei explained. He said companies had to take risks to compete with each other and authoritarian adversaries — a reference to the threat from China — but added that some players were not “managing that risk well, who are taking unwise risks.”
The issue, he said, is the uncertainty around how quickly the economic value of AI will grow and properly mapping that to the lag times on building more data centers.
“There’s [a] genuine dilemma, which we as a company try to manage as responsibly as we can,” Amodei said. ” And then I think there are some players who are ‘YOLO-ing,’ who pull the risk dial too far, and I’m very concerned,” he added, using the slang term for “you only live once,” which is often used to justify risk-taking.
Plus, he spoke to the question around AI chips’ deprecation timelines. That’s another hot-button topic and a factor that could negatively impact the industry’s economics if GPUs become obsolete and lose their value ahead of schedule.
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“The issue isn’t the lifetime of the chips — chips keep working for a long time. The issue is new chips come out that are faster and cheaper…and so the value of old chips can go down somewhat,” Amodei said
He said Anthopic was making conservative assumptions on this front and others as it planned for an uncertain future.
The AI company’s revenue has grown 10x per year over the past three years, the CEO said, going from zero to $100 million in 2023, then $100 million to $1 billion in 2024, and will land somewhere between $8-10 billion by the end of this year.
But Amodei said he would be “really dumb” to just assume that the pattern would continue. “I don’t know if a year from now, if it’s going to be 20 billion or if it’s going to be 50 … it’s very uncertain. I try to plan conservatively. So I plan for the lower side of it, but that is very disconcerting,” he said.
AI companies like his have to plan how much compute they’ll need in the years ahead, and how much they should invest in data centers. If they don’t buy enough, they may not be able to serve their customers. And if they buy too much, they’ll struggle to keep up with costs or, in the worst-case scenario, they could go bankrupt.
Those who take more risks could overextend themselves, Amodei warned, especially if “you’re a person who just kind of, like constitutionally, just wants to ‘YOLO’ things, or just likes big numbers,” he said, in a veiled reference to OpenAI CEO Sam Altman.
“We think we’re going to be okay in, basically, almost all worlds…I can’t speak for other companies,” he said.
Uncommon Games just hit us with the newest trailer for Animalkind during the PC Gaming Show: Most Wanted. This upcoming cozy co-op builder has a bit of a twist. With zero combat it puts the focus on rebuilding, and creating a space worthy of the adorable inhabitants that roam the lands. Because why spend your time fighting when you can muck around building a town as a mech-piloting Corgi?
The minute long trailer is a cheerful look at life as a cuddly little fluff with big responsibilities, and now I can’t wait to get stuck into a nonviolent survival crafter full of fuzzballs.
Here you’ll play as whatever little creature you like—from corgi, to cat, and even a pink raccoon if the mood takes you. Your mission? Rebuild the Functional Life Of Outstanding Fluffy Friends Codex (the F.L.O.O.F). You won’t be able to get it done without opposable thumbs, though, so jumping into a giant mech is the next logical step to reforging what was sundered.
Meanwhile, you’ll be uncovering ancient secrets, exploring the wilderness, and rebuilding a world full of sentient creatures both big and small, each with their own quests and agendas.
You can even give them a piggyback if you want to.
But it’s not just the town layout that will need your attention in this cute building game, you’ll also have a chance to decorate interiors, and even terraform the landscape however you see fit. The devs have actually put a lot of thought into how to encourage players not to destroy the place with sinkholes, since they want it to be an aesthetically sound experience, not some horror show (just wait until our Christopher Livingston gets hold of it).
Animalkind is coming to early access in spring 2026, with the playtest available to request on the Steam page now. You can also wishlist the game to get updates around its planned release.
Keep up to date with the most important stories and the best deals, as picked by the PC Gamer team.
For something other than bundles of floof inside giant technological wonders, check out everything that was announced during the PC Gaming Show: Most Wanted 2025 Powered by Xbox Game Pass.
I am running a CMake project in Visual Studio Community 2026 and it is connected to WSL: Ubuntu. It is running the Linux Debug configuration preset. WSL is running the gcc 15.1.0 compiler.
My C++ code builds and runs fine but I get hundreds of false-positive Intellisense errors. One example is the following:
Severity Code Description Project File Line Suppression State Details
Error (active) E0020 identifier "_Float32" is undefined CppProgUbuntu - Linux Debug C:\Users\bsekl\AppData\Local\Microsoft\Linux\HeaderCache\1.0\Ubuntu\opt\gcc-15\include\c++\15.1.0\atomic 1692
It is apparent that this is happening because Intellisense is not using the correct system headers and preprocessor definitions for the target environment but I’m not sure how to fix it.
How do I fix this so that Intellisense functions properly and doesn’t report false-positive errors?
While many venture firms seem to only have eyes for AI these days, Nexus Venture Partners is deliberately splitting its focus for its new $700 million fund.
The firm will back AI startups and seek out India-focused startups in consumer, fintech, and digital infrastructure.
AI has soaked up most of the venture capital raised globally and the 20-year-old VC firm also sees AI as a defining technological shift. But it argues crowding into a single, overheated category carries its own risks. India’s digital economy provides a counterbalance: an expanding market where AI adoption is rising and opportunities remain more diverse.
For Nexus, that balance is rooted in its origins. The Delaware-headquartered firm, with offices in Menlo Park, Mumbai and Bengaluru, has operated as a single fund and an integrated U.S.–India team since its founding in 2006.
It backs early-stage software and India-focused startups from the same pool of capital. Over time, its cross-border software bets have encompassed a range from infrastructure and developer tools to AI agent startups. U.S. portfolio includes companies such as Postman, Apollo, MinIO, Giga, and Firecrawl, which have become widely adopted in developer tooling and AI infrastructure.
Meanwhile its India portfolio has broadened across consumer, fintech, logistics, and digital infrastructure. Some of its bets there include Zepto, Delhivery, Rapido, Turtlemint, and Infra.Market
“AI is a huge inflection point, and we are anchoring on that,” Jishnu Bhattacharjee, a managing partner at Nexus Venture Partners in the U.S., told TechCrunch in an interview. “But we are also seeing that many of these AI innovations are actually getting used to serve the masses better.”
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Nexus manages $3.2 billion in capital across its funds and has invested in more than 130 companies over the years. The firm has recorded more than 30 exits to date, including several IPOs, underscoring the depth of its early-stage, long-horizon approach.
Abhishek Sharma, a managing partner at Nexus Venture Partners in the U.S., told TechCrunch the firm’s sweet spot remains inception to seed and Series A, often beginning with checks as small as a few hundred thousand dollars or around $1 million.
Nexus, which operates with an eight-member investment team, began with a $100 million fund and has kept its fund size at $700 million since launching Fund VII in 2023. It typically raises every 2.5 to 3 years. Bhattacharjee said the reason for keeping the eighth fund the same size was the firm believes $700 million is the right amount for its early-stage strategy.
“We don’t want to raise money for the sake of raising,” he noted.
Even though India’s AI journey is not as advanced as the U.S.’s in many areas, Nexus believes India could leapfrog in several parts of the AI ecosystem.
Bhattacharjee underlined the country’s large talent pool, rising digital infrastructure, and demand for localized models that support India’s many languages and service needs. These dynamics, he said, are pushing Indian startups to build AI applications and agents faster, often atop open-source tools and emerging domestic AI infrastructure companies.
The partners pointed to companies backed by Nexus, such as Zepto and Neysa, to illustrate how AI is taking shape in India. They said Zepto, the quick-commerce platform, uses AI extensively across its operations — from customer support to routing and fulfillment — demonstrating how consumer businesses are becoming deeply AI-native. Besides, infrastructure players like Neysa are emerging to address India-specific needs, including sovereign AI workloads, localized data handling and support for the country’s many languages.
Nexus did not share fund metrics. The partners said its funds have been realizing significant enough returns over the years to largely fill this fund from returning limited partners. The firm’s LP base spans the U.S., Europe, the Middle East, Southeast Asia and Japan.
Starting a business isn’t easy, particularly when it comes to finances. Balancing costs while ensuring you continuously bring enough money in is incredibly challenging, but there are a number of things you can do to keep costs low and profits high. Here are just a few ideas.
Audit Your Overheads
Before doing anything, you should know exactly what your overheads are. From rent and utilities to staff and suppliers, you need to have a clear idea of how much you are spending on a monthly basis.
Running an audit on your current overheads will not only allow you to get a clearer picture of your businesses expenses but may also help you identify any unnecessary spending or areas where you could reduce costs.
Prioritise Your Employees
It costs considerably more to hire new employees than it does to retain your existing staff. It’s critical that all your staff feel relaxed, happy, supported, and motivated in their roles to prevent high turnover rates, which can quickly eat into profits.
From offering benefits like payroll savings that reduce financial stresses to putting clear objectives in place for promotions, keeping employees satisfied is a key element of maximising profit margin optimisation.
Manage Your Inventory Appropriately
Knowing your stock levels at all times is essential for preventing over or understocking, both of which can harm your profits. Understocking may lose you customers while overstocking can increase holding costs and reduce cashflow.
You should be monitoring stock to see what needs ordering when and how much. Not only will this help keep costs down, but it will also improve the customer experience.
Concentrate on Your Most Profitable Products
Investing more into your most profitable profits is critical. Spend time identifying your best sellers and the products with the highest profit margins, and put more time, resources, and money into marketing and upselling these items. This may seem obvious to some, but many businesses make the mistake of neglecting the importance of product prioritisation.
Increase Customer Loyalty
Creating loyal customers is essential for success. It costs considerably more to acquire a new customer than it does to retain an existing one. Customers who already know and trust your brand are more likely to purchase repeatedly and try new products, giving you a much more stable source of profit.
Boost Your Business Today!
From focusing on employee wellbeing to putting time and effort into your most profitable products, there are just a few of the things you can do to maximise your profit margins to achieve long-term success.
SAVE $200: As of Dec 4, the Toshiba 55-inch Class C350 Series is on sale for $199.99 at Amazon. That’s a 50% saving on the list price.
$199.99 at Amazon
$399.99 Save $200
Black Friday and Cyber Monday are over, and the next big sales event isn’t until Boxing Day. But if you’re still on the hunt for some pre-Christmas bargains, whether for a gift or a treat for yourself, Amazon has some deals still hanging around. Like this discount on the Toshiba 55-inch Class C350 Series, still sitting at its Cyber Monday price.
As of Dec. 4, you can save $200 on this TV, with the price down to just $199.99. This price is for the 55-inch model, but all sizes of this TV are on sale, so you can pick an option that works best for your space.
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With this TV you’re getting great, 4K quality. It also has an AI 4K upscaler, a feature that enhances Full HD video to make everyday content look crisp and realistic. Sound quality is next level too, thanks to Dolby Atmos.
Fast moving scenes come through clearly thanks to Ultimate Motion, and there are dedicated Game and Sports modes for optimizing performance for responsiveness and smooth movement. And because it runs on Fire TV, your favorite apps and content are organized on the home screen, making it easy to resume whatever you’re watching.
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Today’s article covers the five stages of prototyping for new product ideas. Every successful product development needs a strong foundation with an organized process and flow. To visualize this, imagine the bottom of the pyramid, which symbolizes the foundation, and the concept of the product. The top of the pyramid symbolizes the result of the refinement in the entire project, which also includes the final product. Just like any foundation and goal, there are other layers that need to be taken into account to achieve success, and sometimes these layers or processes can make or break the product development.
Essential phases of prototyping
Ideation might not be an integral part of a prototyping process, largely because the ideation has been validated by the time you arrive at the first prototyping phase. Be that as it may, this is the point where everything begins. Some people say ideation must be treated as a separate stage in product development services, but others generally agree that, at the end of the day, a prototype is essentially a materialized idea. Key activities at this very first phase are as follows.
Problem identification: all products (or the vast majority of them) are intended to be the solutions to specific problems. For example, a nail exists so you can join pieces of wood together for construction purposes, while a hammer helps you drive the nail easily into the material. For a product to have a chance of commercial success, it has to address an unmet need or at least provide a unique alternative to an existing solution. Identifying a problem may involve extensive research.
Market analysis: Your 3D design team must be able to conduct an analysis of the existing products and see whether they address any of the problems you’ve identified earlier. If such products don’t exist (yet), well then, you’re off to a great start. But if they do, it’s time to figure out how your idea can deliver a better solution and gain a competitive advantage.
Idea generation: In any project, you should include various experts, such as designers and engineers, in any product category to achieve an effective brainstorming session as the foundation. If you want to focus on consumer electronics, your team should be composed of industrial designers, mechanical engineers, and electrical engineers.
Feasibility assessment: The more product concepts your team can generate, the better your chances of conceptualizing a better product. Don’t forget that every approved concept must be assessed to analyze its manufacturing viability, estimated development timeline, resource requirements, cost calculation, etc. At the end of the feasibility assessment, you should be able to pick no more than two possible concepts if you have lots to choose from. This can help you minimize the development process and costs.
Brand identity: This is the part where your prototype design team already reached the feasibility study phase. This is also the part where you want to involve the product branding. The product’s design and functions must be reflected in the name or brand. The logo used for the brand may affect some of the design decisions, too.
The main point of an ideation process is to determine “why a product should exist in the market” and “what values it can offer” to potential buyers. It’s your design team’s responsibility to make sure that the entire development process is actually based on a real market opportunity.
Digital models
You’ll be hard-pressed to find any modern product design firms that build the first prototypes without any kind of CAD tools. Gone are the days when designers and engineers solely depended on hand-drawn diagrams and physical mockups to validate ideas. Design software has reached a point of photorealism where any design team can put the entire technical foundation of a product on a screen for advanced analysis and simulation. Don’t get this the wrong way. CAD modeling services exist not to make physical prototyping obsolete; it exists to make the process much more time-efficient. Think of virtual prototyping as a preview of how the product will look and function, and what materials to use. Major areas to explore with digital models are listed below.
3D models: If you know that you hired good designers and engineers, you can be assured that they will have advanced CAD software to build 3D models of your product with great accuracy. A virtual prototype can be very precise, even when the proposed product design contains complex geometries, intricate mechanical parts, and a fancy finish with a textured surface. Depending on the product type and design, the virtual prototype is possibly done with solid modeling, wireframe modeling, polygonal modeling, digital sculpting, or any combination of those.
Technical specifications: You should keep in mind that 3D models are not just visual representations. They are used to create a simulation of your product without producing a real product, to avoid waste materials and costly tests. What you can do is create a 3D model of a hammer made of a fiberglass handle, steel claw, and head. If you try to run this through a simulation (such as a stress test), both parts can mirror the behaviors of their real-world counterparts. Fiberglass can break under excessive stress, and steel can scratch.
Aesthetic options: The obvious advantage of 3D modelers using CAD software to build a virtual prototype is the freedom in visual design. The team can experiment with any imaginable shape, color, and form factor without even leaving the desk. However, it’s important not to get easily carried away. The purpose of virtual prototyping is to translate the product concept into a feasible design. Although you have the freedom to try countless visuals, not every design is technically viable. Aesthetic design experiments should be intended as a way to make sure that the product can be manufactured in the most efficient way possible.
Simulation: running a design analysis by simulation means you don’t have to build a physical model to test how the product works under many different scenarios. It allows engineering designers and designers to gauge product performance and recognize issues early on. For example, a 3D model of a hammer is put through a virtual analysis to understand how the materials distribute shock and vibration from the point of impact to the handle and eventually the user’s hand. Running multiple sessions of simulation can help engineers discover problems and make design adjustments before moving to the physical prototyping phase.
A lot of the digital modeling phase is about experimenting with various design iterations. Everything is done in a virtual environment to save cost and time. Only when the 3D models and analysis results are found to meet the design requirements, the design engineering team proceeds to build physical prototypes.
Proof of concept (PoC)
It’s an early form of a physical prototype whose sole purpose is to demonstrate nothing but the fundamental feasibility of a product. PoC is never meant to be functional, let alone resemble a finished product. At this phase, your team’s goal is to validate whether your product concept and their process are feasible and manufacturable. Sometimes, a PoC prototype often involves creating a low-fidelity physical model to prove the feasibility of your idea. That’s why it’s important for you to get the best team that you can get. You can follow this workflow.
Defining the objectives: first things first, the team has to specify what technology and mechanical concepts require validation. The PoC prototype has to be able to validate those concepts, albeit in a crude fashion.
Minimalist model: You might be making a bad choice if you decided to allot a big budget to a prototype just to prove that your product idea is technically feasible. That’s why it’s important to hire prototype designers and engineers, so they can advise you not to invest in an unproven and untested product. Your team starts with a minimalist model, which means they are using affordable and readily available materials, such as styrofoam and wood. If the design is complex enough that it requires assembly of multiple parts, a consumer-grade 3D printer should do the job just fine.
Small-scale test: Proof of concept (PoC) is implemented to mimic the final product used by designers, engineers, or other consultants for initial testing and assessment in terms of technical feasibility, electronics, and functionality.
During this stage, public tests that will involve other random participants are prohibited to avoid launching it in public and IP concerns. The feedback from all the involved persons in the team is used to benchmark revisions and design refinement.
Evaluation and final PoC: following the small-scale test, the product design team goes back to the drawing board and makes the necessary adjustments based on the feedback. There can be a final PoC prototype for further analysis, but this is not mandatory.
A PoC prototype is best described as a process to minimize development risk. All the initial concept validations, the scrapping of unnecessary features, and perhaps the additions of must-have functionality happen here at this phase. It’s an important step to answer all the fundamental questions about the product concept and remove all the doubts about its viability. At the end of this phase, the team should be able to come up with definitive design requirements, core product functionalities, an estimated development timeline, a projected development cost, and success criteria.
Mock (3D printed) prototype
All the refinements from the previous phases are mostly applied to the digital model, so that the next prototype (usually a 3D printed one) already shows some improvements over the original PoC. This is why a final PoC prototype is optional; instead of wasting resources on another PoC, the team can go directly for a mock model. Rapid prototyping services using a 3D printer is pretty affordable these days, allowing the team to evaluate the dimensions, ergonomics, and general form factor without having to invest in injection molding or any other expensive fabrication method. For electronic products, a mock prototype serves as an early sample of the enclosure size and shape. This phase mainly concerns the following points.
Non-functional model: A model that is usually used by designers to check the shape, volume, form, and dimensions of your product. This is like a mock prototype that is used to update you with the progress of the product and project. If the product design is simple, your 3D printing team can use readily available items such as styrofoam, but if the design is complex or your team is 3D experts, a 3D printed model made of plastic materials can be used. Non-functional models are usually created in the first phase of the project to reduce the costs of producing prototypes when the functions or features are not yet final.
Haptic exploration: although the team can’t accurately measure the weight and durability of the product due to the differences in materials, at least it’s possible to gauge the portability and usability. A mock model helps clarify how the object looks and how easy (or cumbersome) it is to use and store.
Branding integration: A 3D printed prototype offers a sneak peek into where to put a logo or other branding elements you might want to use. It might seem trivial at first, but proper placement can improve the product’s visual appeal.
Mock prototypes are simplistic, but much more refined than the utterly crude PoC. In most cases, the design team deliberately avoids giving the prototype a detailed treatment to allow for quick iterations. A mock prototype created by a professional prototype manufacturing designer is the first real gateway to an early discovery of mistakes, identifying potential issues, finding new opportunities for design improvements, and basically learning unexpected lessons.
There can be multiple rounds of mock prototyping. Each iteration is based on the feedback gathered from the previous model. The team goes back and forth between the CAD software and 3D printer to make big and small adjustments to the model until the iterative process delivers the desired result. Adjustments aren’t always about major design changes. They can be anything from a tiny reduction in material thickness for better ergonomics to cosmetic changes.
Additive manufacturing is the technology of choice, mostly thanks to its speed and affordability. If the additive manufacturing designer expects to make more than several iterations within a relatively short period of time, a 3D printer is the best tool for the job. CNC machining (which is a subtractive manufacturing technique) is the next best thing if you want to build a physical model using metal materials. But both are relatively low-cost fabrication methods, ideal for creating non-functional prototypes. At the end of the day, discovering design mistakes in this phase is certainly cheaper than fixing them later in the next stage of product development.
Functional prototype
At this point, your team has already produced a prototype that can be tested in real-life conditions. This allows you to check for flaws, features to be improved, and additional features you might want to add. All of your chosen visual design and functionalities are presented here to mimic a real product. Also, your engineers use your real materials instead of the 3D printers, but depending on your decision, you can use other fabrication methods such as CNC programming services, laser cutting, and vacuum casting. These are the things you should check during this testing.
Performance metrics: The team had probably done performance metrics in the concept/ideation process, but it’s necessary to reiterate the objectives when starting the functional prototype phase. Over the course of the product development thus far, there might be some changes, big and small, that affect the design requirements. Ideally, the performance metrics at this phase encompass everything that the final product is trying to achieve, in terms of both visual appeal and functionality. Each metric represents a specific point of the design that requires examination.
Fabrication methods and material selection: as mentioned earlier, the design for additive manufacting team often uses several different fabrication methods depending on the required fidelity and complexity. A professional-grade 3D printer could be good enough to create small mechanical parts in acceptable quality, but vacuum casting can be an excellent alternative as well. In fact, vacuum casting is often more cost-effective than 3D printing for a small production run. Assuming you need to create anywhere between 50 and 100 prototypes for real-world user tests, vacuum casting is the recommended option. For metal parts, CNC machining or sheet metal fabrication are the obvious choices.
Real-world tests: One of the main points of a functional prototype is to observe how the product performs in various real-world usage scenarios by potential buyers. The DFM design team will send the prototypes to multiple users, let them use the prototypes according to their intended usage, and gather feedback from those users.
A functional prototype should be built to the same quality standard as the desired final product’s specifications in every single aspect. That said, the team cannot just assume that the prototype at this point is perfect in every way. No product development process is completed without user testing, which almost definitely leads to the discovery of shortcomings. This is only the nature of users’ feedback; a perfect product doesn’t exist. Some of that feedback, whether constructive criticisms or otherwise, is valuable insight into the market. It tells the 3D CAD drafting designers what features most buyers like and dislike.
Bear in mind that not every feedback can be implemented in a practical fashion without a major design overhaul. For example, some buyers might find the carbon fiber handle to be an unnecessary feature of a claw hammer. It adds too much of a premium when the more affordable materials like wood or fiberglass will do. At the same time, the material of choice is important because you want to differentiate the product from an ocean of alternatives in the market. It is the design team’s responsibility to respond to (or act on) the feedback. If the overwhelming majority of the feedback expresses the same concern, a design modification can be necessary. But because this can also lead to a major overhaul, which increases the development cost even more, there should be a middle-ground solution as the team sees fit.
Final prototype
Based on the results of real-world user testing and adjustments made according to the feedback, the product development team once again refines the functional prototype into an almost production-ready model. Most companies will not make a final prototype until they make sure that there will be no more major changes to the design. They’ve invested so much time and money into the development effort that another modification can cause months, if not years, of setback. Also, a lot of hardware startups use final prototypes for pre-sales, attracting interest from distributors and retailers, or pitching investors. They just can’t afford to make another revision, not without risking a blowback. You can say that the final prototype is the culmination of iterative refinements throughout the previous phases. A final prototype focuses on the following points.
Production-grade materials: Your team uses the same materials they proposed to create your product. This is not a replica, this is the first tangible product, and you should identify if the product is already good enough for it to proceed to manufacturing. At this point, you should check for features to be improved, and at the same time you should also check that the quality, aesthetics and performance are the same as proposed.
Manufacturing validation: the final prototype is the model used as a production sample. This is the prototype that the design for manufacturing and assembly team sends to the manufacturing partner. A production sample is then analyzed (or perhaps digitally deconstructed) for custom tooling preparation if needs be. In an ideal product development world, the final design shouldn’t need any custom tooling at all to save manufacturing costs. But then again, custom tooling is inevitable when the product in question requires the fabrication of unique parts and components.
The idea behind a final prototype is to prepare for the transition from development environment to mass production. Creating a final prototype isn’t just about fabricating a physical model, as it also involves proper documentation and quality control, allowing for a smooth handover to the production team.
Note for electronic products: all the prototyping phases mentioned above apply to just about any physical product development, except for electronic design services. If the product requires PCB and embedded firmware of any kind, the prototyping phase focuses first on the circuit design, along with the features and user interface (especially if the product comes with a screen/display), before it moves forward to the physical enclosure design. That being said, the general principle remains the same that prototyping is an iterative process from ideation all the way to a production sample.
How Cad Crowd can help
In every product development, planning and implementation are the crucial steps that can affect the very outcome of your product. From choosing your team, to rough sketches, iteration, creating functional prototypes, until the final production, is beneficial to the success of the product. This is the cycle of any project, and each cycle allows any team to learn from the previous mistake and improve the model, leading to a successful project and product. If you want a team to turn your imaginative concept into a tangible one, don’t hesitate to contact Cad Crowd for a free quote!
MacKenzie Brown is the founder and CEO of Cad Crowd. With over 18 years of experience in launching and scaling platforms specializing in CAD services, product design, manufacturing, hardware, and software development, MacKenzie is a recognized authority in the engineering industry. Under his leadership, Cad Crowd serves esteemed clients like NASA, JPL, the U.S. Navy, and Fortune 500 companies, empowering innovators with access to high-quality design and engineering talent.